Search Results - subject:"Intrusion Detection System"

An improved deep neuro-fuzzy and bi-directional gated recurrent unit model for distributed denial of service attack detection and mitigation

Chitte, Pallavi H.; Chaudhari, Sangita S. - 2025

An intrusion detection system (IDS) is integral to a robust cybersecurity infrastructure. This study presents a …

Persistent link: https://www.econbiz.de/10015506746

Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things intrusion detection

Benmalek, Mourad; Seddiki, Abdessamed - In: Data science and management : DSM 8 (2025) 4, pp. 423-435

detection system that leverages machine learning (ML) and deep learning (DL) models to secure IoT networks. This study utilizes … necessitates the development of effective intrusion detection methods. This paper presents an innovative anomaly-based intrusion …

Persistent link: https://www.econbiz.de/10015638954

A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems

Samantaray, Milan; Barik, Ram Chandra; Biswal, Anil Kumar - 2024

The rapid increase in online risks is a reflection of the exponential growth of Internet of Things (IoT) networks. Researchers have proposed numerous intrusion detection techniques to mitigate the harm caused by these threats. Enterprises use intrusion detection systems (IDSs) and intrusion...

Persistent link: https://www.econbiz.de/10015107880

A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection

Vishwakarma, Monika; Kesswani, Nishtha - 2023

Internet of Things (IoT), demonstrates an impressive performance in fast-forward development. Intrusion Detection System (IDS …

Persistent link: https://www.econbiz.de/10014436765

Effects of feature selection and normalization on network intrusion detection

Umar, Mubarak Albarka; Chen, Zhanfang; Shuaib, Khaled; … - In: Data science and management : DSM 8 (2025) 1, pp. 23-39

The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). However, the...

Persistent link: https://www.econbiz.de/10015454712

DIDS : a Deep Neural Network based real-time Intrusion detection system for IoT

Vishwakarma, Monika; Kesswani, Nishtha - 2022

anomaly-based Intrusion Detection System (IDS) is used to identify and categorize assaults. Machine Learning (ML) and Deep … this article, we have proposed a deep neural network-based intrusion detection system to identify malicious packets in real …

Persistent link: https://www.econbiz.de/10014337042

Deep learning-based distributed denial-of-service detection

Mennour, Hanene; Mostefai, Sihem - In: International journal of networking and virtual … 26 (2022) 1/2, pp. 80-103

Persistent link: https://www.econbiz.de/10013256822

The design of an intrusion detection system in MANET using the IGWO-ANN classification algorithm

Venketesh, R.; Sasikala, K. - In: International journal of networking and virtual … 31 (2024) 1, pp. 22-42

Persistent link: https://www.econbiz.de/10015066469

Intrusion detection system using metaheuristic fireworks optimization based feature selection with deep learning on Internet of Things environment

Jayasankar, T.; Buri, R. Kiruba; Maheswaravenkatesh, P. - In: Journal of forecasting 43 (2024) 2, pp. 415-428

Persistent link: https://www.econbiz.de/10014475348

An enhanced Grey Wolf Optimisation-Deterministic Convolutional Neural Network (GWO-DCNN) model-based IDS in MANET

Prashanth, S. K.; Iqbal, Hena; Illuri, Babu - In: Journal of information & knowledge management : JIKM 22 (2023) 4, pp. 1-19

Persistent link: https://www.econbiz.de/10014388773